181 Épisodes

  1. Defining Success: Metrics and KPIs - Adam Sroka

    Publié: 17/09/2021
  2. Making Sense of Data Engineering Acronyms and Buzzwords - Natalie Kwong

    Publié: 11/09/2021
  3. Mastering Algorithms and Data Structures - Marcello La Rocca

    Publié: 03/09/2021
  4. Chief Data Officer - Marco De Sa

    Publié: 27/08/2021
  5. Freelancing in Machine Learning - Mikio Braun

    Publié: 20/08/2021
  6. Launching a Startup: From Idea to First Hire - Carmine Paolino

    Publié: 13/08/2021
  7. Approach Learning as ML Project - Vladimir Finkelshtein [mini]

    Publié: 06/08/2021
  8. Humans in the Loop - Lina Weichbrodt

    Publié: 30/07/2021
  9. Running from Complexity - Ben Wilson

    Publié: 23/07/2021
  10. I Want to Build a Machine Learning Startup! - Elena Samuylova

    Publié: 16/07/2021
  11. Big Data Engineer vs Data Scientist - Roksolana Diachuk

    Publié: 09/07/2021
  12. Build Your Own Data Pipeline - Andreas Kretz

    Publié: 02/07/2021
  13. From Software Engineering to Machine Learning - Santiago Valdarrama

    Publié: 25/06/2021
  14. Analytics Engineer: New Role in a Data Team - Victoria Perez Mola

    Publié: 18/06/2021
  15. Data Governance - Jessi Ashdown, Uri Gilad

    Publié: 11/06/2021
  16. What Data Scientists Don’t Mention in Their LinkedIn Profiles - Yury Kashnitsky

    Publié: 04/06/2021
  17. Becoming a Data-led Professional - Arpit Choudhury

    Publié: 28/05/2021
  18. How to Market Yourself (without Being a Celebrity) - Shawn Swyx Wang

    Publié: 21/05/2021
  19. From Physics to Machine Learning - Tatiana Gabruseva

    Publié: 14/05/2021
  20. What I Learned After Interviewing 300 Data Scientists - Oleg Novikov

    Publié: 07/05/2021

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